Lead With AI

"Why did nobody think of this by now?" Narmeen Kazmi asked herself after discovering her textile client spent millions per year on manual data entry. Working with a huge client supplying Pretty Little Thing and Boohoo, Narmeen watched teams waste time fetching data, organizing spreadsheets, and manually entering purchase orders. In this episode of Lead with AI, Dr. Tamara Nall speaks with Narmeen, Founder and Project Manager at Datrix, about building an AI-powered system that automates data entry by connecting directly to Gmail, reading purchase orders and receipts, and intelligently matching information to your database schema. The platform features a unique sticky-note dashboard UI designed for quick insights rather than lengthy reports, works with any retail business receiving orders via email, and deliberately avoids reinforcement learning to protect client data privacy. Narmeen reveals why she stopped searching for existing tools and built her own MVP during a hackathon, explains the vector-based matching process that doesn't require training on your data, and predicts simple solutions like Datrix will change the world more than flying cars. For anyone drowning in paperwork, manual data entry, or order processing chaos, Narmeen explains how AI can turn messy inboxes into organized databases automatically.Want to automate your data entry chaos? Visit Datrix to join the waitlist and discover how AI can eliminate manual purchase order processing, organize receipts automatically, and turn email chaos into clean database entries.For more insights on how AI is transforming business and society, subscribe to the Lead with AI podcast, where we explore the frontiers of artificial intelligence with the innovators who are shaping its development.#LeadwithAI #DataEntry #AIAutomation #Datrix #RetailTech #DataProcessing #AIForBusiness #SmallBusiness #StartupStory #FemaleFounder #AIInnovation #DataManagement #PurchaseOrders #BusinessAutomation #TechStartup Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | YouTube: @LeadWithAiPodcast | Facebook: Lead With AI | Instagram: @leadwithaipodcast | TikTok: @leadwithaipodcast | Twitter (X): @LeadWithAiFollow Dr. Tamara Nall:LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.comConnect with Narmeen Kazmi: LinkedIn: @Narmeen-Kazmi | Website: Datrix.App

"I wish I had a spiritual director in my pocket." That thought hit Joshua during a lonely night after losing both parents to cancer within two years. Two days later, he coded a prototype. In this episode of Lead with AI, host Dr. Tamara Nall speaks with Joshua Pinto, Founder of RYSEN, about building an AI spiritual companion that helps people find words to pray when they can't find them themselves. When Joshua first showed the app to his wife, she asked something raw about balancing motherhood, exhaustion, and faith. The response was so gentle and true to Catholic teaching that she cried—the moment he knew this was more than just clever code. Joshua shares how RYSEN draws from Scripture, Church tradition, and the saints while maintaining clear ethical boundaries. For anyone struggling to find words for prayer or seeking pastoral care between Sundays, Joshua explains how technology can walk alongside faith without replacing sacred relationships.Want to experience AI-powered spiritual companionship? Visit rysen.life to access RYSEN's theologically grounded, pastorally sensitive faith companion that walks alongside you in your spiritual journey.#AICompanion #SpiritualGuidance #FaithTech #CatholicAI #PrayerHelp #ArtificialIntelligence #MentalHealthSupport #GriefSupport #FaithJourney #PastoralCare #AIForGood #ResponsibleAI #CatholicTech #TechInnovation #DigitalFaith Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | YouTube: @LeadWithAiPodcast | Facebook: Lead With AI | Instagram: @leadwithaipodcast | TikTok: @leadwithaipodcast | Twitter (X): @LeadWithAiFollow Dr. Tamara Nall:LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.comFollow Joshua Pinto:LinkedIn: @Joshua-Blaise-PintoRYSEN AI:Website: Rysen.Life

Twenty-eight million dollars in savings from one healthcare system. Two million dollars saved in 90 days for another. Kylen Bailey, Executive Director of Growth at Clarium, built an AI platform that consolidates thousands of siloed data sources across hospital supply chains into real-time disruption insights. In this episode of Lead with AI, Dr. Tamara Nall speaks with Kylen about how Clarium predicted Hurricane impacts on gown supplies for Louisiana hospitals, automated preference card management that was stuck in paper binders, and saved healthcare systems tens of millions by eliminating surgical waste. Kylen shares how the platform pulls data from electronic health records, ERPs, distributors, and even weather trajectories to tell supply chain teams exactly which 10 orthopedic surgeries will be affected by factory shutdowns. Clarium remains fully unbiased across suppliers, giving hospitals the intelligence to make informed decisions when disruptions hit. Kylen reveals his vision for warehouse robots working alongside AI platforms, predicts AI has already created more than we realize, and believes supply chain advancements are the most underrated tech trend.Want to experience AI-powered healthcare supply chain resilience? Visit clariumhealth.com to discover how Clarium consolidates siloed data, predicts disruptions in real-time, and saves healthcare systems millions through intelligent logistics automation. Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | YouTube: @LeadWithAiPodcast | Facebook: Lead With AI | Instagram: @leadwithaipodcast | TikTok: @leadwithaipodcast | Twitter (X): @LeadWithAiFollow Dr. Tamara Nall:LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.comConnect with Kylen Bailey: LinkedIn: @KylenBailey | Medium: KylenBailey.Medium.com | Email: kylen@clariumhealth.comFollow Clarium Health: Website: ClariumHealth.com | LinkedIn: @Clarium-Health

Thirty percent of all clothes go straight from the factory to the landfill without ever being worn. Zoher Karu, Head of AI at Taelor, built an AI-powered styling platform that tackles this sustainability crisis while solving what he calls "the matching problem" for men's fashion. In this episode of Lead with AI, Dr. Tamara Nall speaks with Zoher about how Taelor learns your preferences, body type, and calendar to deliver outfits that build confidence and reduce waste. Zoher shares how the platform processes data like a brain driving down the street, evaluating weather, upcoming events, fit preferences, and style compatibility simultaneously. One customer landed a job because the right outfit gave him confidence in the interview. Taelor combines machine learning with human oversight, renting clothes to users who can keep favorites and return the rest, creating feedback loops that tell manufacturers what men actually want to wear. For anyone curious about how AI transforms everyday decisions while making the world more sustainable, Zoher explains what happens when algorithms understand style better than most humans.Want to experience AI-powered personal styling? Visit taelor.ai to sign up and access Taelor's machine learning platform that matches your style, fits your calendar, and builds confidence through better fashion choices. Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | YouTube: @LeadWithAiPodcast | Facebook: Lead With AI | Instagram: @leadwithaipodcast | TikTok: @leadwithaipodcast | Twitter (X): @LeadWithAiFollow Dr. Tamara Nall:LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.comFollow Zoher Karu: LinkedIn: @ZZKaru | Facebook: Zoher.Karu | Email: zoher@taelor.aiTaelor AI: Website: Taelor.Style

Most companies deploying AI models right now cannot prove what's actually running in production. Jesse Williams, Co-founder and COO of Jozu and former VP at Docker, built infrastructure that cuts model audit compilation from three weeks to seconds while solving the security gap keeping enterprise teams awake at night. In this episode of Lead with AI, Dr. Tamara Nall speaks with Jesse about the moment defense contractors discovered their ML pipeline had no single source of truth, how a malicious prompt change slipped into AWS developer tools unnoticed, and why KitOps packages everything into cryptographically signed artifacts. Jesse shares how one team wasted 80 developer hours creating audit logs that Jozu now generates automatically, why infrastructure-level ethics matter more than model guardrails when a Chevy chatbot sold a car for one dollar, and his prediction that we'll soon see the first billion-dollar company run by 10 people as AI levels the playing field globally.Want to experience secure AI deployment? Visit jozu.com and kitops.org to access the open source framework and enterprise platform making ML governance automatic.#AIGovernance #EnterpriseAI #AIInfrastructure #DevOpsAI #LeadWithAI #FutureOfAI #AIMissionControl #ModelOps #ResponsibleAI #TechInnovation #OpenSourceAI Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | YouTube: @LeadWithAiPodcast | Facebook: Lead With AI | Instagram: @leadwithaipodcast | TikTok: @leadwithaipodcast | Twitter (X): @LeadWithAiFollow Dr. Tamara Nall:LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.comFollow Jesse Williams: LinkedIn: @JesseWilliams1Follow Jozu: Website: Jozu.com

Two billion monthly users now interact with Google through conversational AI instead of traditional keyword searches. Soufi Esmaeilzadeh, Director of Product Management for Google Search, leads the team that transformed how humanity discovers information through AI Overviews and AI mode. In this episode of Lead with AI, Dr. Tamara Nall speaks with Soufi about the query fan out technique that breaks complex questions into subtopics and researches them simultaneously, mimicking how humans naturally reason through problems. Soufi shares how college students navigate career decisions through back-and-forth dialogue with AI mode, how parents plan family vacations by describing nuanced requirements in natural language, and how Search Live allows people to debug appliances simply by pointing their camera and asking questions. She reveals three innovation frontiers reshaping information discovery: agentic capabilities where AI books reservations on your behalf, multi-modal interfaces that understand video and audio inputs, and personalization that remembers your preferences without requiring repetition. For anyone curious about how search evolved beyond blue links and keywords into conversational assistance, Soufi explains what happens when two billion people shift from searching to having conversations.Want to experience the future of search? Visit google.com/ai to access Google's latest AI-powered search capabilities, including AI mode, Search Live, and visual AI features. Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | YouTube: @LeadWithAiPodcast | Facebook: Lead With AI | Instagram: @leadwithaipodcast | TikTok: @leadwithaipodcast | Twitter (X): @LeadWithAiFollow Dr. Tamara Nall:LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.comFollow Soufi Esmaeilzadeh: LinkedIn: @Soufi-EGoogle Live Search: Website: google.com/ai

What started as morning text prompts to her mother became an AI platform preserving family memories before it's too late. In this episode of Lead with AI, host Dr. Tamara Nall interviews Kimberly Carson, former IBM Watson researcher and founder of Ancestral Echoes, and explains how sensory questions like "What did Sunday morning smell like in your childhood?" unlock stories that heal rather than just create nostalgia. A beta tester who lost her mother unexpectedly found voice memos that felt like letters her mom left behind without knowing. Carson reveals how AI organizes these memories into multi-modal capsules that preserve voice, tone, and cultural context, creating living archives for future generations. This isn't about recreating voices or faking memories. It's about making space for stories that matter while the people who lived them are still here to share.Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | Email: Tamara@LeadwithAIPodcast.comFollow Dr. Tamara Nall:LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.comFollow Kimberly Carson:LinkedIn: @KimberlyaCarson | Ancestral Echoes: Ancestral-Echoes-Signup.Lovable.App | Instagram: @Kims_AI_Imaginarium | Linktr.ee: Kims_AI_Imaginarium | YouTube: @Kims_AI_Imaginarium

Most AI development tools hide what's happening under the hood. Scott Vance built the opposite. Convo Lang is a plain text framework that exposes every part of the AI interaction process, making context engineering precise and visible. In this episode of Lead with AI, host Dr. Tamara Nall speaks with Scott, a creator and developer from Cincinnati who spent nearly 20 years building software tools. Scott explains how Convo Lang started as a small library to eliminate repetition in his AI projects and evolved into a comprehensive framework for developing AI-native applications. He describes how every interaction with an LLM gets stored in local files you can review, helping developers understand how AI reached specific decisions. Scott shares how he used his new tool Convo Make to complete a week's worth of work in just a few hours, generating an entire application frontend and backend including security rules in one shot. He reveals his vision for language models that can interpret code written specifically for AI rather than forcing models to generate the same code humans have been writing for decades. For developers frustrated by tools that treat AI interactions like black boxes, Scott demonstrates what becomes possible when you expose the full context and make every message visible in plain text format you can read and organize.Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | Email: Tamara@LeadwithAIPodcast.comFollow Dr. Tamara Nall:LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.comFollow Scott Vance:LinkedIn: @scott-vance | Convo Lang AI: Learn.Convo-Lang.ai | Email: scott@convo-lang.ai

Most AI systems operate as applications on top of existing infrastructure. Nguyen Duc Tri is building intelligence into the infrastructure itself. At 21 years old, the Vietnam-based cybersecurity researcher created Adaptive OS, an operating system where AI exists at the foundation level with three distinct layers.In this episode of Lead with AI, host Dr. Tamara Nall speaks with Nguyen about why he believes current operating systems like Windows, Linux, and Android need to evolve beyond static infrastructure into adaptive ecosystems that learn with humans, not above them. Nguyen explains how each model in Adaptive OS behaves like a neuron, forming a distributed intelligence system where every node learns contextually, remembers ethically, and evolves cooperatively. He shares his vision for infrastructure that can refuse unethical commands, self-heal exploits, and communicate with humans to make collaborative decisions. For anyone curious about the future of cybersecurity and ethical AI, Nguyen reveals what happens when operating systems gain consciousness at the infrastructure level and defense becomes evolution rather than reaction.Want to explore Adaptive OS? Find documentation and code on Nguyen's GitHub, with links available on his LinkedIn profile. Follow Nguyen Duc Tri on LinkedIn for updates as the project evolves toward 2026 release.For more insights on how AI is transforming business and society, subscribe to the Lead with AI podcast, where we explore the frontiers of artificial intelligence with the innovators who are shaping its development.Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | Email: Tamara@LeadwithAIPodcast.comFollow Dr. Tamara Nall:LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.comFollow Nguyễn Đức Trí:LinkedIn: @nguyễnđứctrí | Reddit: AIC25 | Twitter/X: @NguyncT09972002  | GitHub: AdaptiveIntelligenceCircle  | Email: ndtribk@gmail.com

Rose Arendarczyk, the Founder and CEO of GiftEase, shares her journey from a consultant to creating an AI platform focused on meaningful gifting. She reveals how GiftEase prioritizes relationships by capturing recipient preferences, giver intent, and relational context. Discussions include the stress of gift planning, early user success stories, and the ethical approach to enhancing human connection rather than replacing it. Rose envisions a future where personalized AI gifts seamlessly integrate into daily life, reducing holiday waste and unwanted gifts.